Yacine Izza

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Information Systems — 19 citations into it
• Safety, Robustness & Interpretability — 16 citations into it
• Algorithms & Complexity — 10 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Statistical Learning Theory — 8 citations into it

Whom Yacine Izza trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Cynthia Rudin
2. Alexey Ignatiev
3. Dimitris J. Bertsimas
4. Osbert Bastani
5. Paul E. Utgoff
6. Siegfried Nijssen
7. Christian Bessiere
8. Andy Shih
9. J. Ross Quinlan
10. Nina Narodytska

Papers from Yacine Izza's perspective

Ordered by how strongly the researchers Yacine Izza trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Et al
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• On Explaining Decision Trees (2020) — 116 citations